The program is written for watching medical images in DICOM format and for
performing various operations for medical analysis, like drawing regions of interests and
accessing their statistics and dynamical changes, watching horizontal and vertical profiles,
measuring distances, using different color scales etc.
This program uses Mental Alchemy components.

Program for calculation of all shotest paths in directed and undirected graphs and trees.
The graph structure can be either loaded using adjacency matrix (the example files are included), or be generated at random.

This program was written for experiments on using different machine learning
algorithms for automatic images categorization. The training and test images' descriptions
should be created using Image description utility.
A number of algorithms is supported.
The documentation is upcoming.
This program uses Mental Alchemy components.

This program creates image description using local color and brightness parameters and edge orientation histogram.
There's an ability to set image points sampler to form description from the subset of image pixels.
Also a vector quantization based on the Kohonen's SOM can be used to reduce the resulting description.
The result is written into text and binary files which are created in the program's directory.
The documentation is upcoming.
This program uses Mental Alchemy components.

Program to train Kohonen's Self-Organizing Map using standard and batch algorithms.
The program accepts text files on input. An example is supplied with the program.
The documentation is upcoming.
This program uses Mental Alchemy components.

Program to compute bounds for complex and real polynomials using classic and modern algorithms.
The program generates log-file containing polynomial coefficients and bounds values sorted by their rank. The program can also be ran in a batch mode to perform mass testing of different polynomials of different orders.
This program uses Mental Alchemy components.

This program implements neuroevolutionary training of the neural network
to increase dimension of the features space, which should lead to better classification
accuracy according to the Cover's theorem (1965).
The program accepts Proben1 files on input. Examples are supplied with the program.
The documentation is upcoming.
This program uses Mental Alchemy components.

Mental Alchemy. My toolkit library for .NET containing implementation of many useful functions and methods, and also image processing and machine learning algorithms. Some computationally hard methods are parallelized using OpenMP standard. This library is used by most programs on this page.